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Promoting psychological safety in simulation using a novel visual tool: A mixed-methods quasi-experimental study
Jacqueline Vaughn1, Shannon H Ford1, Laura A Killam2
1University of North Carolina Wilmington School of Nursing, College of Health and Human Services, Wilmington, NC, USA.
Nurse Education Today
|December 3, 2024
Summary
The Simulation Tool to Enhance Psychological Safety (STEPS) improved nursing students' perception of psychological safety in simulation-based learning. This visual tool fosters a supportive environment, turning mistakes into learning opportunities.
Area of Science:
- Healthcare Education
- Nursing Education
- Simulation-Based Learning
Background:
- Psychological safety is crucial for effective healthcare simulation-based learning but difficult to establish.
- A visual tool, Simulation Tool to Enhance Psychological Safety (STEPS), was used with prelicensure nursing students.
- STEPS aimed to support and strengthen psychological safety during simulation activities.
Purpose of the Study:
- To determine the impact of the STEPS tool on psychological safety.
- To assess psychological safety in prelicensure nursing students during simulated learning.
Main Methods:
- Quasi-experimental, one-group pretest-posttest design with mixed-methods approach.
- STEPS implemented in 12 simulation activities over a semester.
- Psychological Safety in High Fidelity Simulation Scale used for pretest-posttest surveys; qualitative data from open-ended responses and focus groups.
Main Results:
- 51 prelicensure nursing students participated.
- Students reported improved perceptions of psychological safety after the STEPS intervention.
- Qualitative data indicated STEPS enhanced learning from mistakes, support, comfort, and confidence.
Conclusions:
- STEPS promotes a safe and supportive learning environment by visually reminding students and faculty.
- The tool helps students reframe mistakes as learning opportunities.
- STEPS can be part of a broader strategy to enhance psychological safety; further research with larger samples is recommended.

